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Quantitative MRI is a PICNIK with Physics-Informed data Consistent Neural Implicit K-space representations. In this project, you will substantially improve quantitative magnetic resonance imaging
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different types of exercise limitations and muscle changes. Additionally, you will collect new data using non-invasive techniques like magnetic resonance imaging (MRI) and near-infrared spectroscopy (NIRS
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. Visit us on LinkedIn and discover how you can become part of our community. You will join the group of Dr. Emmanuel Marquez Legorreta whose lab integrates whole-brain volumetric calcium imaging
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mechanics, electronics and computing. The Nikhef ATLAS group consists of a total of 15 scientific staff, typically 5 postdocs and 15 PhD students. As a founding member of the ATLAS collaboration, the group
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5 postdocs and 15 PhD students. As a founding member of the ATLAS collaboration, the group has a long-term involvement in detector construction (the semiconductor tracker, barrel muon chambers
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learning has strong potential for computer vision, from hyperbolic image segmentation [2] to hyperbolic tree embeddings [3] and hyperbolic vision-language models [4,5]. [1] Nickel, Maximillian, and Douwe
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may contain unique information about organ quality that is not visible in blood or clinical characteristics. By combining the results of AI-driven image analysis of histological samples conducted in
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, proteomics and advanced imaging. This research project will be executed in close collaboration with the Princess Máxima Center. Radboudumc Welcome to Radboud university medical center (Radboudumc), where
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geothermal heat, CO2 and hydrogen. Repeated fluid pumping could lead to clogging of fluid pathways. Are you ready to dive into the how, using cutting-edge imaging techniques? Then the Department of Earth
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will collaborate within a motivated, multidisciplinary team of PhD students and postdocs with expertise in biology bioinformatics, AI, genetics, neuroimaging, computational neuroscience, psychology, and